Latest Engineering Jobs

Automation Engineer II, Falcon Complete

Develop and maintain security automation workflows and SOAR playbooks to enhance detection, triage, and response within a managed detection and response (MDR) environment. Leverage Python and PowerShell scripting, integrate AI-powered workflows, and collaborate with SOC analysts to improve operational efficiency. Work with SIEM data, version control systems, and emerging automation technologies in a remote-first cybersecurity team.

CrowdStrike United Kingdom

Remote Permanent

Solution Architect, Integration Partners GTM

Act as the technical bridge between CrowdStrike and its integration partners in Europe, designing and validating integrations on the Falcon Platform, supporting joint go-to-market initiatives, and enabling partners through training and technical content. Focus on accelerating deal progression via technical demos, proof-of-value execution, and RFI/RFP responses while leveraging AI to enhance workflows and integration efficiency.

CrowdStrike Windsor, SL4 4BQ, United Kingdom

Remote Permanent

Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI-driven solutions using NVIDIA's hardware and software technologies. The Solution Architect will develop technical collateral, lead proof-of-concept initiatives, and guide field teams in implementing AI workflows across public sector challenges. A strong focus is placed on computer vision, generative AI, and MLOps, with an emphasis on translating mission goals into scalable technical strategies.

NVIDIA Spain

Remote Permanent Clearance Required

Solution Architect, Local Government AI

The role involves working closely with government clients and partners to design and deploy AI-driven solutions that address public sector challenges. You will develop technical strategies, create educational content, and support proofs of concept using NVIDIA's AI platforms. The position emphasizes hands-on technical leadership in computer vision, generative AI, and deep learning, with a focus on real-world deployment and cross-cultural collaboration.

NVIDIA

Remote Permanent Clearance Required

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC workloads using NVIDIA's accelerated computing platform. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include hands-on technical engagement, driving research collaborations, delivering training, and translating research needs into product feedback for engineering teams.

NVIDIA Cambridge, United Kingdom

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale AI projects, particularly around LLMs and open models, while contributing to joint research and technical content. Responsibilities include hands-on training, prototyping solutions, and bridging research needs with product development through direct feedback to engineering teams.

NVIDIA Reading, United Kingdom

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

This role involves designing and implementing large-scale AI and HPC GPU infrastructure with a focus on datacentre power, cooling, and MEP integration. The Solutions Architect will work closely with cloud partners and customers to ensure technical requirements are met throughout the deployment lifecycle, from PoC to production. Key responsibilities include advising on datacentre best practices, troubleshooting infrastructure bottlenecks, and shaping future NVIDIA product development through customer feedback.

NVIDIA France

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

Design and deploy scalable AI and HPC GPU infrastructure in large-scale datacentres, focusing on power, cooling, and MEP integration. Collaborate with cloud partners to solve technical challenges in datacentre design and support real-world deployment of NVIDIA technologies. Provide expert guidance on infrastructure optimisation and contribute to product strategy through customer feedback.

NVIDIA

Senior Solutions Architect, Higher Education and Research

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate with researchers to integrate NVIDIA frameworks into large-scale projects, deliver training and workshops, and translate research needs into prototypical solutions. Focus on multimodal and physical AI, with deep engagement in GPU-accelerated computing and joint research initiatives.

NVIDIA Reading, United Kingdom

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on next-generation NVIDIA GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance AI performance and scale across datacenters. Work at the forefront of compiler innovation for deep learning and AI architectures.

NVIDIA Cambridge, United Kingdom

Senior Deep Learning Software Engineer, Inference

Design and optimize GPU-accelerated deep learning inference software for large-scale language and generative AI models. Contribute to open-source frameworks like vLLM and SGLang, and implement performance improvements across NVIDIA's full range of accelerators from datacenter to edge. Work closely with research and engineering teams to profile, tune, and deploy state-of-the-art model serving solutions using CUDA, Triton, and other low-level optimization tools.

NVIDIA Netherlands

Senior Developer Relations Manager, ISV

This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors (ISVs) by providing technical guidance, enabling integrations, and fostering co-innovation. The person will work closely with developer teams and ISV partners to optimize solutions using NVIDIA technologies like CUDA and Triton, while translating field feedback into product roadmap insights. Key responsibilities include leading technical workshops, developing enablement resources, and collaborating across engineering, product, and marketing to scale developer engagement in emerging tech domains.

NVIDIA United Kingdom

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include technical advisory, hands-on training, prototyping, and translating research needs into engineering feedback.

NVIDIA United Kingdom

Senior Solutions Architect, Higher Education and Research

This role involves partnering with academic and research institutions to advance the use of NVIDIA's accelerated computing and AI technologies. The Solutions Architect will guide researchers in integrating NVIDIA's software stack and hardware platforms into high-impact scientific projects, deliver technical training, and translate research needs into product feedback. The position requires deep expertise in multimodal AI, robotics, and large-scale GPU systems, with a strong emphasis on collaboration, prototyping, and thought leadership in the research community.

NVIDIA United Kingdom

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations for NVIDIA's GPUs. You'll solve complex compilation challenges, collaborate on hardware-software co-design, and help scale AI workloads across datacenters. The position emphasizes innovation in MLIR-based frameworks and optimizing performance on cutting-edge GPU architectures.

NVIDIA United Kingdom